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» A graphical model for predicting protein molecular function
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BMCBI
2011
14 years 3 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
BMCBI
2006
144views more  BMCBI 2006»
14 years 11 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...
VISUALIZATION
2002
IEEE
15 years 4 months ago
Visualizing Dynamic Molecular Conformations
The bioactivity of a molecule strongly depends on its metastable conformational shapes and the transitions between these. Therefore, conformation analysis and visualization is a b...
Johannes Schmidt-Ehrenberg, Daniel Baum, Hans-Chri...
NAR
2006
98views more  NAR 2006»
14 years 11 months ago
oGNM: online computation of structural dynamics using the Gaussian Network Model
An assessment of the equilibrium dynamics of biomolecular systems, and in particular their most cooperativefluctuationsaccessibleundernativestate conditions, is a first step towar...
Lee-Wei Yang, A. J. Rader, Xiong Liu, Christopher ...
SIGGRAPH
1992
ACM
15 years 3 months ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance